Machine Learning Developer Velocity

Machine Learning Developer Velocity

Developing machine learning systems is painfully slow. Machine learning (ML) models take months to develop and deploy. By the time ML models are deployed into production, development velocity is at a crawl. Let's understand why.

Real Costs of Machine Learning Systems

Real Costs of Machine Learning Systems

Developing and maintaining machine learning (ML) systems is costly. ML practitioners (Machine Learning Researchers, Engineers, Developers, and Data Scientists) incur multiple costs as they shift from prototype to production. Understanding real costs (true costs) of ML systems allows companies to better develop prototypes and deploy models into production.

Earthquakes and Artificial Intelligence

Earthquakes and Artificial Intelligence

Every year, more than 50 thousand people die from earthquakes. Since 1990, earthquakes have been responsible for more than 800 thousand deaths and have left 17+ million people homeless.